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Chintan Amrit

Chintan Amrit is an Associate Professor at the Department of Business Analytics, at the University of Amsterdam. He has completed his PhD from the University of Twente in the area of Coordination in Software Development, having started it at RSM Erasmus University. He holds a master’s degree in Computer Science from the Indian Institute of Science, Bangalore. In the past, he has worked for three years as a software engineer. His research interests are in the area of business intelligence (using machine learning), open-source development and mining software repositories and applying analytics in projects that focus on the UN’s sustainable development goals. He serves as a department editor of IEEE Transactions in Engineering Management, coordinating editor of Information Systems Frontiers journal, an associate editor of PeerJ CS journal, and is a regular track chair at ECIS.

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Li-minn Ang

Li-minn Ang is currently the Professor of Electrical and Computer Engineering at the School of Science and Engineering at University of the Sunshine Coast (USC). His research interests are in computer, electrical and systems engineering including Internet of Things (IoT), intelligent systems and data analytics, machine learning, visual information processing, embedded systems, wireless multimedia sensor systems, reconfigurable computing (FPGA) and the development of innovative technologies for real-world systems including smart cities, engineering, agriculture, environment, and health.

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Mario Luca Bernardi

I received the Laurea degree in Computer Science Engineering from the University of Naples Federico II, Italy, in 2003 and the Ph.D. degree in Information Engineering from the University of Sannio in 2007.

Since 2003 I have worked as a researcher in the field of software engineering writing more than 90 papers published in journals and conference proceedings. My main research interests include software maintenance and testing, software reuse, software reverse engineering, and re-engineering, with a particular interest in software modularization.
I also served both as a member of the program and organizing committees of several international conferences, and as a reviewer of papers submitted to some of the main journals and magazines in the field of data and process mining, software engineering, software maintenance, program comprehension, and the application of computational intelligence approaches in the above fields.
Currently, I am an Senior Researcher at University of Sannio, holding the course of "Pervasive Computing".

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Henning Hermjakob

As co-founder of the HUPO Proteomics Standards Initiative (PSI), Henning Hermjakob contributed to the development of a broad range of community data representation standards for proteomics and interactomics. Based on the trust and collaborative spirit built up in the development of data representation standards, he coordinated the next step, the intensive collaboration of proteomics and interactomics data resources globally in the IMEx [3] and ProteomeXchange [4] consortia, providing infrastructure support for the move towards an open data culture in proteomics. Building on his experience in interactomics, he is now co-PI of the Reactome Pathways database [1] and the BioModels resource of systems biology models [2]. Current research interests comprise distributed data resources (http://omicsdi.org) and complex data visualisation.

1. Fabregat A, et al. The Reactome pathway Knowledgebase. Nucleic Acids Res. 2016 Jan 4;44(D1):D481-7.
2. Chelliah V, et al. BioModels: ten-year anniversary. Nucleic Acids Res. 2015 Jan;43 (Database issue):D542-8.
3. Orchard S, et al. Protein interaction data curation: the International Molecular Exchange (IMEx) consortium. Nat Methods. 2012 Mar 27;9(4):345-350.
4. Vizcaíno JA, et al. ProteomeXchange provides globally coordinated proteomics data submission and dissemination. Nat Biotechnol. 2014 Mar 10;32(3):223-6.
5. Lander ES, et al. Initial sequencing and analysis of the human genome.
Nature. 2001 Feb 15;409(6822):860-921.

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Harry Hochheiser

My research has covered a range of topics, including human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. I am currently working on a variety of NIH-funded projects, including areas such as bioinformatics research portals, visualization for review of chart records, and tools for aiding the discovery of animal models of human diseases.

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Binh P. Nguyen

Senior Lecturer in Data Science at the School of Mathematics and Statistics in Victoria University of Wellington (New Zealand). Former Scientist at the Institute of High Performance Computing, A*STAR (Singapore). Former Research Fellow at Duke-NUS Medical School and National University of Singapore (Singapore).

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James B Procter

I studied Chemistry at The University of York, Computer Science at The University of Leeds, and obtained a PhD at the Australian National University. I worked on the comparison, classification and prediction of protein structure at ANU and in Germany at the University of Hamburg before joining the Jalview project in Dundee in 2004.
I co-founded the VIZBI conference in 2009, and joined PeerJ CS as Academic Editor in 2014. I serve on a variety of biological and computer science peer review panels and conference program committees. I'm interested in how we can do better science by creating better tools for data analysis and communication.

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Filipi Nascimento Silva

Dr. Filipi Silva is a Research Scientist at the Observatory on Social Media (OSoMe), Indiana University. With a Ph.D. in Computational Physics from the University of São Paulo, his expertise lies in the intersection of complex networks, machine learning, text analysis and data visualization. Dr. Silva's research includes contributions to many fields, from bioinformatics, to digital art representation. He is the developer of Helios-Web, a state-of-the-art network visualization tool. And his current interests include mapping science, detecting suspicious activities and uncovering narratives in social media data.

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Osama Sohaib

Dr Osama Sohaib is a Lecturer at the Faculty of Engineering and Information Technology, University of Technology Sydney. His research interest areas include information systems modelling, e-Services, Human-Computer Interaction (HCI) and Applied Machine Learning.

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Giancarlo Succi

Prof. Giancarlo Succi is a Professor within the Department of Computer Science and Engineering at the University of Bologna, Italy. He is also the Dean at Constructor University in Bremen, Germany.

His research interests include Software Engineering and Visual Analytics.

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Tamara Sumner

I lead an interdisciplinary research and development lab that studies how computational tools - combining cognitive science, machine intelligence, and interactive media - can improve teaching practice, learning outcomes and learner engagement. Inquiry Hub, formerly known as Digital Learning Sciences, is a mission-centered, research-practice partnership involving faculty and students from the University of Colorado Boulder, scientific and technical staff from the University Corporation for Atmospheric Research (UCAR), and educators and administrators from Denver Public Schools. Our research and development team combines expertise in cognitive science, learning sciences, science education, user-centered design and evaluation, digital content management, software engineering, educational data mining, and machine learning/natural language processing.

I am also a Professor at the University of Colorado, with a joint appointment between the Institute of Cognitive Science and the Department of Computer Science. I am currently serving as the Director of the Institute of Cognitive Science. My research and teaching interests include personalized learning, learning analytics, cyber learning environments, educational digital libraries, scholarly communications, human centered computing, and interdisciplinary research methods for studying cognition. I have written 140 articles on these topics, including over 80 peer-reviewed scholarly publications.